{"id":"W4394266463","doi":"10.6084/m9.figshare.15000384","title":"A Human Mobility Dataset Collected via LBSLab","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000574483,0.0002964744,0.0004533385,0.0002379301,0.002749367,0.000228389,0.001541743,0.000373772,0.9900377],"category_scores_gemma":[0.002698112,0.0003392122,0.0002217838,0.001202181,0.00008481895,0.0001378738,0.0003884071,0.0007885566,0.003454279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000601761,"about_ca_system_score_gemma":0.001134706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03881943,"about_ca_topic_score_gemma":0.2057661,"domain_scores_codex":[0.9963593,0.0009717187,0.0004601375,0.000774648,0.000962499,0.0004717078],"domain_scores_gemma":[0.9974951,0.0003541803,0.0003391303,0.001366375,0.0002105479,0.0002347334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003571118,0.0002306124,0.000001065849,0.0001929342,0.00006089999,0.00001701365,0.0002189249,0.00001437331,2.90459e-7,0.000001795181,0.9990974,0.0001611148],"study_design_scores_gemma":[0.0001202226,0.00003830331,0.00007318693,0.0001049542,0.00008879817,3.279922e-7,0.000257859,0.00001074311,7.08776e-7,0.00005665068,0.9988787,0.0003696162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002844268,0.0001016443,1.492186e-7,0.0001021572,0.00007458257,0.0006615324,0.9984742,0.00009343816,0.0004894418],"genre_scores_gemma":[0.00007974326,0.000006387919,0.000001488182,0.0004548676,0.0003151545,0.001131519,0.9970555,0.0000163198,0.0009390149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9865834,"threshold_uncertainty_score":0.999906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05319468104226057,"score_gpt":0.3505787161862939,"score_spread":0.2973840351440333,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}